ArbiLoMod, a Simulation Technique Designed for Arbitrary Local Modifications

Buhr A, Engwer C, Ohlberger M, Rave S

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

Engineers manually optimizing a structure using Finite Element based simulation software often employ an iterative approach where in each iteration they change the structure slightly and resimulate. Standard Finite Element based simulation software is usually not well suited for this workflow, as it restarts in each iteration, even for tiny changes. In settings with complex local microstructure, where a fine mesh is required to capture the geometric detail, localized model reduction can improve this workflow. To this end, we introduce ArbiLoMod, a method which allows fast recomputation after arbitrary local modifications. It employs a domain decomposition and a localized form of the Reduced Basis Method for model order reduction. It assumes that the reduced basis on many of the unchanged domains can be reused after a localized change. The reduced model is adapted when necessary, steered by a localized error indicator. The global error introduced by the model order reduction is controlled by a robust and efficient localized a posteriori error estimator, certifying the quality of the result. We demonstrate ArbiLoMod for a coercive, parameterized example with changing structure.

Details zur Publikation

FachzeitschriftSIAM Journal on Scientific Computing (SIAM J. Sci. Comput.)
Jahrgang / Bandnr. / Volume39
Ausgabe / Heftnr. / Issue4
StatusVeröffentlicht
Veröffentlichungsjahr2017
Sprache, in der die Publikation verfasst istEnglisch
DOI10.1137/15M1054213
Link zum Volltexthttp://doi.org/10.1137/15M1054213

Autor*innen der Universität Münster

Buhr, Andreas
Professur für Angewandte Mathematik, insbesondere Numerik (Prof. Ohlberger)
Engwer, Christian
Professur für Anwendungen von partiellen Differentialgleichungen (Prof. Engwer)
Ohlberger, Mario
Professur für Angewandte Mathematik, insbesondere Numerik (Prof. Ohlberger)
Center for Nonlinear Science (CeNoS)
Center for Multiscale Theory and Computation (CMTC)
Rave, Stephan
Professur für Angewandte Mathematik, insbesondere Numerik (Prof. Ohlberger)